Myntra Product Scraper

Extract comprehensive product data from Myntra's extensive catalog with ease. Collect product details including names, brands, prices, ratings, availability, and images from any category or search page. Perfect for price monitoring, market research, and competitive analysis in the Indian fashion e-commerce market.

Features

• Complete Product Data — Extract all essential details including prices, discounts, ratings, sizes, and availability
• Automatic Pagination — Seamlessly navigate through multiple pages to collect your desired number of products
• Smart Deduplication — Eliminate duplicate entries automatically for clean, accurate datasets
• Flexible URL Input — Start from any Myntra category, search page, or custom URL
• Structured JSON Output — Get well-organized data ready for analysis and integration
• Rate Limit Protection — Built-in delays and retry mechanisms to ensure reliable data collection

Use Cases

Price Monitoring

Track product prices and discounts across Myntra's catalog. Monitor pricing trends, identify seasonal sales patterns, and stay competitive in the fashion e-commerce market.

Market Research

Analyze product catalogs to identify trending brands, popular categories, and market gaps. Understand customer preferences through ratings and reviews data for better product sourcing decisions.

Competitive Analysis

Compare pricing strategies, product ranges, and discount patterns across different brands and categories. Make data-driven decisions for inventory planning and pricing optimization.

Product Intelligence

Build comprehensive product databases for fashion analytics. Track availability, size options, and product attributes across thousands of listings for business intelligence.

Catalog Management

Keep your product database synchronized with Myntra's catalog. Monitor new product launches, discontinued items, and category changes automatically.

---

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	[{"url": "https://www.myntra.com/men-tshirts"}]	Category, search, or listing URLs to scrape
results_wanted	Integer	No	20	Maximum number of products to collect
proxyConfiguration	Object	No	Residential proxy	Proxy settings (residential recommended)

---

Output Data

Each product in the dataset contains:

Field	Type	Description
productId	String	Unique product identifier
name	String	Product name/title
brand	String	Brand name
price	Number	Current selling price (₹)
mrp	Number	Original maximum retail price (₹)
discountPercent	Number	Discount percentage
rating	Number	Average customer rating (1-5 scale)
ratingCount	Number	Total number of ratings
sizes	Array	Available sizes (e.g., ["S", "M", "L"])
imageUrl	String	Product image URL
productUrl	String	Direct link to product page
inStock	Boolean	Stock availability status
isSponsored	Boolean	Whether this is a sponsored/promoted listing
sourceUrl	String	URL where data was collected
scrapedAt	String	ISO timestamp of data collection

---

Usage Examples

Basic Category Scraping

Extract products from a specific category:

{
    "startUrls": [
        {"url": "https://www.myntra.com/men-tshirts"}
    ],
    "results_wanted": 50
}

Multiple Categories

Scrape products from multiple categories simultaneously:

{
    "startUrls": [
        {"url": "https://www.myntra.com/men-tshirts"},
        {"url": "https://www.myntra.com/women-dresses"},
        {"url": "https://www.myntra.com/kids-clothing"}
    ],
    "results_wanted": 200
}

Large-Scale Collection

For comprehensive data collection:

{
    "startUrls": [
        {"url": "https://www.myntra.com/casual-shoes"}
    ],
    "results_wanted": 1000
}

Search Results Scraping

Extract products from search results:

{
    "startUrls": [
        {"url": "https://www.myntra.com/nike-shoes"}
    ],
    "results_wanted": 100
}

---

Sample Output

{
    "productId": "12345678",
    "name": "Men Graphic Printed Round Neck Pure Cotton T-shirt",
    "brand": "Roadster",
    "price": 499,
    "mrp": 999,
    "discountPercent": 50,
    "rating": 4.3,
    "ratingCount": 1856,
    "sizes": ["S", "M", "L", "XL", "XXL"],
    "imageUrl": "https://assets.myntassets.com/h_720,q_90,w_540/v1/assets/images/12345678/2024/1/15/abc123_1.jpg",
    "productUrl": "https://www.myntra.com/tshirts/roadster/roadster-men-graphic-printed-round-neck-pure-cotton-t-shirt/12345678/buy",
    "inStock": true,
    "isSponsored": false,
    "sourceUrl": "https://www.myntra.com/men-tshirts",
    "scrapedAt": "2026-01-18T04:36:57.000Z"
}

---

Tips for Best Results

Choose Valid URLs

• Use category pages, search results, or brand pages as start URLs
• Verify URLs are accessible before starting the scrape
• Test with a small maxItems value first to ensure the URL works

Optimize Collection Size

• Start with 20-50 items for testing purposes
• Increase to 200-500 for medium-sized collections
• Use 1000+ for comprehensive catalog extraction
• Balance speed with data quantity based on your needs

Handle Rate Limits

• Use requestDelaySecs of 1-2 seconds for reliable scraping
• Increase delay to 2-3 seconds if you encounter errors
• Enable proxies for large-scale collection (maxItems > 500)
• Reduce maxConcurrency in proxy settings if needed

Maximize Data Quality

• Filter out-of-stock items during post-processing if needed
• Cross-reference productId for accurate deduplication
• Monitor scrapedAt timestamps for data freshness
• Check for null values in optional fields like sizes or rating

Proxy Configuration

For reliable large-scale scraping, residential proxies are recommended:

{
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

---

Integrations

Connect your Myntra product data with popular business tools:

• Google Sheets — Export data for collaborative analysis and reporting
• Airtable — Build searchable product databases with custom views
• Slack — Receive notifications when scraping completes
• Webhooks — Send data to custom endpoints and APIs
• Make — Create automated workflows and data pipelines
• Zapier — Trigger actions based on product data updates
• Power BI / Tableau — Visualize pricing and market trends

Export Formats

Download your data in multiple formats:

• JSON — For developers, APIs, and data processing
• CSV — For Excel, Google Sheets, and spreadsheet analysis
• Excel — For business reporting and presentations
• XML — For system integrations and data interchange

---

Frequently Asked Questions

How many products can I scrape?

You can collect all available products from any category or search page. The practical limit depends on Myntra's catalog size and your maxItems setting. Most categories have hundreds to thousands of products.

Does the scraper handle pagination automatically?

Yes, the scraper automatically navigates through multiple pages until it reaches your specified maxItems limit or the maxPages constraint.

What if some product fields are missing?

Some fields like sizes, mrp, or rating may be null if Myntra doesn't provide that information for a specific product. This is normal and reflects actual data availability.

Can I scrape search results?

Yes, you can use any Myntra search result URL as a start URL. The scraper will extract products from search pages just like category pages.

Do I need proxies?

Proxies are optional but recommended for large-scale scraping (500+ products) to ensure reliability and avoid rate limits. For smaller collections, the default settings work well.

How long does scraping take?

Scraping time depends on maxItems, requestDelaySecs, and network conditions. Generally, expect 1-2 seconds per product with default settings. A 100-product scrape typically takes 2-4 minutes.

What happens if Myntra changes their website?

The scraper is designed to adapt to minor layout changes. If Myntra makes significant changes to their page structure, we'll update the actor to maintain compatibility.

Can I schedule recurring scrapes?

Yes, use Apify's scheduler to run the scraper at specific intervals (hourly, daily, weekly) for automated price monitoring and catalog updates.

Is there a limit on concurrent runs?

You can run multiple instances simultaneously. Each run is independent and maintains its own dataset.

What about product variations and colors?

The scraper extracts product cards as they appear on listing pages. Variations (colors, patterns) typically appear as separate products and will be captured individually.

---

Support

For issues, feature requests, or technical assistance, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs
• Proxy Configuration Guide
• Integration Tutorials

---

Legal Notice

This actor is designed for legitimate data collection purposes such as market research, price monitoring, and business intelligence. Users are responsible for ensuring compliance with Myntra's terms of service and applicable laws. Use data responsibly, respect rate limits, and avoid excessive requests that may impact website performance.